Sr Infrastructure Engineer

The Role

We are seeking a Platform Infrastructure Sr. Engineer to build the foundational cloud infrastructure powering Dyno’s integrated platform for AI-driven protein design. As a Platform Infrastructure Engineer, you’ll work alongside senior engineers to design, implement, and scale reliable infrastructure for machine learning and Python services.

Job Type: Full-time

Location: Watertown, MA, or remote / hybrid

How You Will Contribute

As part of the Computational Platform team, you will help design, deploy, and maintain the core systems that make large-scale model training and serving possible. You’ll contribute directly to infrastructure improvements that increase platform reliability, developer velocity, and the performance of ML workloads across the company.

Responsibilities:

• Build and maintain cloud infrastructure to support model training, data processing, and service deployments using Kubernetes and managed cloud resources.
• Develop Infrastructure-as-Code (IaC) to manage environments, networking, and service configuration throughout the code and service lifecycle.
• Support major infrastructure initiatives, including:.
• Modernizing our application ecosystem by transitioning services to managed cloud services.
• Enabling robust multi-node ML training by managing kubernetes cluster deployments
• Contribute to automation, monitoring, and CI/CD systems that improve reliability and developer efficiency.
• Collaborate with scientists and engineers across ML and biology

Required qualifications

• 5+ years of progressive experience in software engineering.
• Experience working with cloud infrastructure (GCP, AWS, or Azure) and comfort with IaC tools like Terraform.
• Motivated by solving foundational systems challenges that unblock higher-level innovation in ML and computational science.
• You value collaboration, reliability, and craftsmanship in engineering.
• A proactive, problem-solving mindset - you don’t just identify challenges; you find solutions.

Preferred qualifications

• Experience working with Kubernetes, container orchestration, and cloud networking concepts.
• Exposure to machine learning workflows or are eager to learn how to support distributed training environments.

The Company

At Dyno Therapeutics, we are a forward-thinking team on a mission to build high-performance genetic technologies that transform patient lives. Our team unites world-class molecular biologists, protein engineers, software developers, data scientists, and machine learning experts—all working together to shape the future of gene therapy.

Our culture is defined by three core values:

• One Mission: Everything we do is for the mission. We are a cohesive and motivated team, thinking ahead and supporting one another to overcome challenges.
• Proactive Responsibility: We take action, inject energy into our work, and hold ourselves accountable for delivering results.
• Reaching for Excellence: We constantly strive for excellence, fueled by curiosity, adaptability, and the courage to speak hard truths in pursuit of success.

These values are more than words—they guide our daily actions. We seek individuals who share our passion for innovation, excellence, and teamwork. At Dyno, building life-changing technologies isn’t just a job; it’s a mission that drives us forward.

What You’ll Give:

• Bring an unstoppable work ethic, stepping up when things get tough and adapting as priorities shift.
• Embrace challenges as opportunities, finding solutions where none exist and driving innovation forward.
• Operate with urgency, responsibility, and resilience, because this mission demands the best from us.

 What You’ll Get:

• Competitive compensation & equity—your contributions drive results, and we pay accordingly.
• Mission-aligned, high-trust environment—we succeed together, supporting each other through challenges.
• A career-defining experience—work at the forefront of AI-driven genetic medicine, tackling problems that reshape healthcare.

If you’re ready to push boundaries, build the future, and thrive in a fast-moving, high-impact environment—we’d love to hear from you.

At Dyno, we believe in transparent and equitable compensation practices.

Expected Base Salary Range: 

Sr. Engineer: $150,787 - $178,528.48/year

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-campus gym membership, onsite lunch, commuter support, and company provided laptop

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Equal Employment Opportunity (EEO) Statement

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Fraud Alert: Please be aware of recruitment scams targeting job seekers. Dyno Therapeutics will never make an offer of employment without conducting a formal interview process, nor will we ask for personal information such as financial details over email. Official communication will only come from an @dynotx.com email address. If you are contacted by someone claiming to represent Dyno Therapeutics from any other domain, please report it as spam and report the communication to us at [email protected].